Lin Xu

According to our database, Lin Xu authored at least 17 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IDEAL: Independent domain embedding augmentation learning.

Zelin Yang, Lin Xu, Shiyang Yan, Haixia Bi, Fan Li

Pattern Recognit., 2026

2022

Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks.

Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan

IEEE Trans. Netw. Sci. Eng., 2022

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing.

Jing Yao, Danfeng Hong, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu

IEEE Trans. Geosci. Remote. Sens., 2022

2020

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.

Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu

IEEE Trans. Image Process., 2020

2018

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.

Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley

IEEE Trans. Image Process., 2018

Greedy Criterion in Orthogonal Greedy Learning.

Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu

IEEE Trans. Cybern., 2018

2017

Shrinkage Degree in L₂-Rescale Boosting for Regression.

Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu

IEEE Trans. Neural Networks Learn. Syst., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.

Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu

Neurocomputing, 2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.

Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley

CoRR, 2017

Polsar image classification based on three-dimensional wavelet texture features and Markov random field.

Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems.

Zhihai Yang, Lin Xu, Zhongmin Cai, Zongben Xu

Knowl. Based Syst., 2016

Greedy Criterion in Orthogonal Greedy Learning.

Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu

CoRR, 2016

Learning capability of the truncated greedy algorithm.

Lin Xu, Shaobo Lin, Zongben Xu

Sci. China Inf. Sci., 2016

2015

Jackson-type inequalities for spherical neural networks with doubling weights.

Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu

Neural Networks, 2015

Shrinkage degree in L₂-re-scale boosting for regression.

Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu

CoRR, 2015

Re-scale boosting for regression and classification.

Shaobo Lin, Yao Wang, Lin Xu

CoRR, 2015

2014

Greedy metrics in orthogonal greedy learning.

Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu

CoRR, 2014